Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+from transformers import pipeline
+
+st.title("Zali Ai Dashboard for Data Analysis and Machine Learning")
+
+# Sidebar menu
+st.sidebar.header("Menu")
+uploaded_file = st.sidebar.file_uploader("Upload a file", type=['csv', 'xlsx'])
+
+if uploaded_file is not None:
+    # Read the uploaded file
+    df = pd.read_csv(uploaded_file)
+
+    # Data Analysis Section
+    st.subheader("Data Analysis")
+    st.write(df.head())
+
+    # Charts and Graphs
+    st.subheader("Data Visualization")
+    # Add your data visualization code here
+
+    # Machine Learning Section
+    st.subheader("Machine Learning Analysis")
+
+    # Perform machine learning analysis using Hugging Face Transformers
+    ml_pipeline = pipeline(task="text-classification", model="textattack/bert-base-uncased-imdb")
+    text = "Replace this with your text data from the uploaded file"
+    result = ml_pipeline(text)
+    st.write("Machine Learning Result:")
+    st.write(result)